awslabs / text-analysis-with-amazon-opensearch-service-and-amazon-comprehend

The Text Analysis with Amazon Comprehend and Amazon OpenSearch Service solution is an automated reference implementation that deploys a cost-effective, end-to-end solution for extracting meaningful insights from unstructured data such as customer calls, support tickets, and online customer feedback.

Summary
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Main Code: 1,839 LOC (44 files) = JAVA (100%)
Secondary code: Test: 2,052 LOC (20); Generated: 0 LOC (0); Build & Deploy: 54 LOC (2); Other: 870 LOC (9);
Artboard 48 Duplication: 5%
File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC)
Unit Size: 0% long (>100 LOC), 69% short (<= 10 LOC)
Conditional Complexity: 0% complex (McCabe index > 50), 82% simple (McCabe index <= 5)
Logical Component Decomposition: primary (12 components)
files_time

2 years, 7 months old

  • 92% of code older than 365 days
  • 3% of code not updated in the past 365 days

0% of code updated more than 50 times

Also see temporal dependencies for files frequently changed in same commits.

Goals: Keep the system simple and easy to change (4)
Commits Trend

Latest commit date: 2021-09-09

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commits
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0
contributors
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Commits

4

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13

Contributors

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3

2021 2020 2019
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Reports
Analysis Report
Trend
Analysis Report
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Notes & Findings
Links

generated by sokrates.dev (configuration) on 2022-01-31